arXiv stat.ML
· Papers
Tensor-based second-order causal discovery
arXiv:2606.18074v2 Announce Type: replace Abstract: Causal discovery seeks to uncover the causal dependencies among variables. For this purpose, we propose an algorithm called Tensor-based Second-order Causal Discovery (TSCD). Its input is a tensor obtained from the covariance matrices of observational and intervention